ArticleBiomaterials2014
The enhancement of bone regeneration by gene activated matrix encoding for platelet derived growth factor.
Article in Biomaterials, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 63 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
63 citing papers in PubMed, 139 citations in OpenAlex.
- Genetic and bioactive functionalization of bioinks for 3D bioprinting.Bioprocess and biosystems engineering · 2025Review
- Biomaterial-Based Nucleic Acid Delivery Systems for In Situ Tissue Engineering and Regenerative Medicine.International journal of molecular sciences · 2025Review
- Regional Gene Therapy for Bone Tissue Engineering: A Current Concepts Review.Bioengineering (Basel, Switzerland) · 2025Review
- A Reconfigurable Proangiogenic Hydrogel Patch Enabling Minimally Invasive Drug Delivery.ACS applied materials & interfaces · 2024Article
- Advanced gene nanocarriers/scaffolds in nonviral-mediated delivery system for tissue regeneration and repair.Journal of nanobiotechnology · 2024Review
- In Vitro and In Vivo Biological Assessments of 3D-Bioprinted Scaffolds for Dental Applications.International journal of molecular sciences · 2023Review
- Recent Advances in the Production of Pharmaceuticals Using Selective Laser Sintering.Biomimetics (Basel, Switzerland) · 2023Review
- Electrospun Scaffolds Enriched with Nanoparticle-Associated DNA: General Properties, DNA Release and Cell Transfection.Polymers · 2023Article
- Non-viral gene delivery to human mesenchymal stem cells: a practical guide towards cell engineering.Journal of biological engineering · 2023Review
- Gene Therapy for Regenerative Medicine.Pharmaceutics · 2023Review
- Matrices Activated with Messenger RNA.Journal of functional biomaterials · 2023Review
- Application of Lyophilized Gene-Delivery Formulations to Dental Implant Surfaces: Non-Cariogenic Lyoprotectant Preserves Transfection Activity of Polyplexes Long-Term.Journal of pharmaceutical sciences · 2023Article
- Nanotopographical cues for regulation of macrophages and osteoclasts: emerging opportunities for osseointegration.Journal of nanobiotechnology · 2022Review
- Barrier Membranes for Guided Bone Regeneration (GBR): A Focus on Recent Advances in Collagen Membranes.International journal of molecular sciences · 2022Review
- Comparison ofBiofabrication · 2022Article
- Controlled Co-delivery of pPDGF-B and pBMP-2 from intraoperatively bioprinted bone constructs improves the repair of calvarial defects in rats.Biomaterials · 2022Article
- The International Society of RNA Nanotechnology and Nanomedicine (ISRNN): The Present and Future of the Burgeoning Field.ACS nano · 2021Article
- The biological applications of DNA nanomaterials: current challenges and future directions.Signal transduction and targeted therapy · 2021Review
- Nonviral Gene Delivery Embedded in Biomimetically Mineralized Matrices for Bone Tissue Engineering.Tissue engineering. Part A · 2021Article
- Gene- and RNAi-activated scaffolds for bone tissue engineering: Current progress and future directions.Advanced drug delivery reviews · 2021Review
3 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors at 2 institutions in 1 country.
Funding
Abstract
Gene therapy using non-viral vectors that are safe and efficient in transfecting target cells is an effective approach to overcome the shortcomings of protein delivery of growth factors. The objective of this study was to develop and test a non-viral gene delivery system for bone regeneration utilizing a collagen scaffold to deliver polyethylenimine (PEI)-plasmid DNA (pDNA) [encoding platelet derived growth factor-B (PDGF-B)] complexes. The PEI-pPDGF-B complexes were fabricated at amine (N) to phosphate (P) ratio of 10 and characterized for size, surface charge, and in vitro cytotoxicity and transfection efficacy in human bone marrow stromal cells (BMSCs). The influence of the complex-loaded collagen scaffold on cellular attachment and recruitment was evaluated in vitro using microscopy techniques. The in vivo regenerative capacity of the gene delivery system was assessed in 5 mm diameter critical-sized calvarial defects in Fisher 344 rats. The complexes were ~100 nm in size with a positive surface charge. Complexes prepared at an N/P ratio of 10 displayed low cytotoxicity as assessed by a cell viability assay. Confocal microscopy revealed significant proliferation of BMSCs on complex-loaded collagen scaffolds compared to empty scaffolds. In vivo studies showed significantly higher new bone volume/total volume (BV/TV) % in calvarial defects treated with the complex-activated scaffolds following 4 weeks of implantation (14- and 44-fold higher) when compared to empty defects or empty scaffolds, respectively. Together, these findings suggest that non-viral PDGF-B gene-activated scaffolds are effective for bone regeneration and are an attractive gene delivery system with significant potential for clinical translation.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.